Finite Mathematics and Calculus with Applications, Edition 7
Copyright 2005, ISBN: 0-321-22823-5
Margaret L. Lial, Raymond N. Greenwell, Nathan P. Ritchey
Addison Wesley Higher Education

Chapter R. Algebra Reference
 PDF   Word  1. Polynomials
 PDF   Word  2. Factoring
 PDF   Word  3. Rational Expressions
 PDF   Word  4. Equations
 PDF   Word  5. Inequalities
 PDF   Word  6. Exponents
 PDF   Word  7. Radicals
Chapter 1. Linear Functions
 PDF   Word  1. Slopes and Equations of Lines
 PDF   Word  2. Linear Functions and Applications
 PDF   Word  3. The Least Squares Line
Chapter 2. Systems of Linear Equations and Matrices
 PDF   Word  1. Solution of Linear Systems by the Echelon Method
 PDF   Word  2. Solution of Linear Systems by the Gauss-Jordan Method
 PDF   Word  3. Addition and Subtraction of Matrices
 PDF   Word  4. Multiplication of Matrices
 PDF   Word  5. Matrix Inverses
 PDF   Word  6. Input-Output Models
Chapter 3. Linear Programming: The Graphical Method
 PDF   Word  1. Graphing Linear Inequalities
 PDF   Word  2. Solving Linear Programming Problems Graphically
 PDF   Word  3. Applications of Linear Programming
Chapter 4. Linear Programming: The Simplex Method
 PDF   Word  1. Slack Variables and the Pivot
 PDF   Word  2. Maximization Problems
 PDF   Word  3. Minimization Problems; Duality
 PDF   Word  4. Nonstandard Problems
Chapter 5. Mathematics of Finance
 PDF   Word  1. Simple and Compound Interest
 PDF   Word  2. Future Value of an Annuity
 PDF   Word  3. Present Value of an Annuity; Amortization
Chapter 6. Logic
  1. Statements
  2. Truth Tables and Equivalent Statements
  3. The Conditional and Circuits
  4. More on the Conditional
  5. Analyzing Arguments and Proofs
  6. Analyzing Arguments with Quantifiers
Chapter 7. Sets and Probability
 PDF   Word  1. Sets
 PDF   Word  2. Applications of Venn Diagrams
 PDF   Word  3. Introduction to Probability
 PDF   Word  4. Basic Concepts of Probability
 PDF   Word  5. Conditional Probability; Independent Events
 PDF   Word  6. Bayes' Theorem
Chapter 8. Counting Principles; Further Probability Topics
 PDF   Word  1. The Multiplication Principle; Permutations
 PDF   Word  2. Combinations
 PDF   Word  3. Probability Applications of Counting Principles
 PDF   Word  4. Binomial Probability
 PDF   Word  5. Probability Distributions; Expected Value
Chapter 9. Statistics
 PDF   Word  1. Frequency Distributions; Measures of Central Tendency
 PDF   Word  2. Measures of Variation
 PDF   Word  3. The Normal Distribution
 PDF   Word  4. Normal Approximation to the Binomial Distribution
Chapter 10. Nonlinear Functions
  1. Properties of Functions
  2. Quadratic Functions; Translation and Reflection
  3. Polynomial and Rational Functions
  4. Exponential Functions
  5. Logarithmic Functions
  6. Applications: Growth and Decay; Mathematics of Finance
Chapter 11. The Derivative
  1. Limits
  2. Continuity
  3. Rates of Change
  4. Definition of the Derivative
  5. Graphical Differentiation
Chapter 12. Calculating the Derivative
  1. Techniques for Finding Derivatives
  2. Derivatives of Products and Quotients
  3. The Chain Rule
  4. Derivatives of Exponential Functions
  5. Derivatives of Logarithmic Functions
Chapter 13. Graphs and the Derivative
  1. Increasing and Decreasing Functions
  2. Relative Extrema
  3. Higher Derivatives, Concavity, and the Second Derivative Test
  4. Curve Sketching
Chapter 14. Applications of the Derivative
  1. Absolute Extrema
  2. Applications of Extrema
  3. Further Business Applications: Economic Lot Size, Economic Order Quantity; Elasticity of Demand
  4. Implicit Differentiation
  5. Related Rates
  6. Differentials: Linear Approximation
Chapter 15. Integration
  1. Antiderivatives
  2. Substitution
  3. Area and the Definite Integral
  4. The Fundamental Theorem of Calculus
  5. The Area Between Two Curves
  6. Numerical Integration
Chapter 16. Further Techniques and Applications of Integration
  1. Integration by Parts
  2. Volume and Average Value
  3. Continuous Money Flow
  4. Improper Integrals
  5. Solutions of Elementary and Separable Differential Equations
Chapter 17. Multivariable Calculus
  1. Functions of Several Variables
  2. Partial Derivatives
  3. Maxima and Minima
  4. Lagrange Multipliers
  5. Total Differentials and Approximations
  6. Double Integrals
Chapter 18. Probability and Calculus
  0. Continuous Probability Models
  0. Expected Value and Variance of Continuous Random Variables
  0. Special Probability Density Functions
Chapter M. Miscellaneous
 PDF   Word  1. Markov Chains: Transition matrix
 PDF   Word  2. Markov Chains: Initial probability matrix
 PDF   Word  3. Markov Chains: Stable distribution for a transition matrix
 PDF   Word  4. Markov Chains: Examples Courtesy of Lavon Page at NCSU
Chapter R. Reviews
  0. Review for Final Exam